{"id":1037,"date":"2023-02-09T13:39:58","date_gmt":"2023-02-09T12:39:58","guid":{"rendered":"http:\/\/www.analogflavor.com\/en\/?p=1037"},"modified":"2023-02-09T13:40:01","modified_gmt":"2023-02-09T12:40:01","slug":"reading-psf-files-from-python","status":"publish","type":"post","link":"https:\/\/www.analogflavor.com\/en\/2023\/02\/09\/reading-psf-files-from-python\/","title":{"rendered":"Reading PSF files from Python"},"content":{"rendered":"\n

Our waveform parser<\/strong><\/a> makes reading PSF files<\/a><\/strong> from Python easy. For this purpose we have extended our parser library to a self-contained Python module. This module is implemented as a C\/C++ extension to Python. As a consequence you get the full performance of a C\/C++ library and the ease of use of the Python programming language.<\/p>\n\n\n\n

Our Python module comes with a large number of examples that will get you started quickly. These examples allow to read files and browse the complete file contents, to plot curves with Matplotlib<\/a> and to convert them to other file formats.<\/p>\n\n\n\n

All our interfaces to the parser library have a similar syntax. If you use Python only for prototyping, moving to the C\/C++ API will be straightforward. <\/p>\n\n\n\n

If you intent to use our Python module in a specific way don’t hesitate to ask if we have a more appropriate example for you.<\/p>\n\n\n\n

Reading PSF files from Python will certainly make your life easier ! Contact us<\/strong><\/a> for a free 2 months evaluation.<\/p>\n\n\n\n

Further Reading<\/h2>\n\n\n\n